Alternatives Manager Research through the Lens of Industry Standard DDQs

<div>As the critical dimensions of transistors continue to be scaled down to facilitate improved performance and device speeds, new ultrathin materials that combine diffusion barrier and seed/liner properties are needed for copper interconnects at these length scales. Ideally, to facilitate coating of high aspect ratio structures, this alternative barrier+liner material should only consist of one or as few layers as possible. We studied TaN, the current industry standard for Cu diffusion barriers, and Ru, which is a</div><div>suitable liner material for Cu electroplating, to explore how combining these two materials in a barrier+liner material influences the adsorption of Cu atoms in the early stage of Cu film growth. To this end, we carried out first-principles simulations of the adsorption and diffusion of Cu adatoms at Ru-passivated and Ru-doped e-TaN(1 1 0) surfaces. For comparison, we also studied the behaviour of Cu and Ru adatoms at the low index surfaces of e-TaN, as well as the interaction of Cu adatoms with the (0 0 1) surface of hexagonal Ru. Our results confirm the barrier and liner properties of TaN and Ru, respectively while also highlighting the weaknesses of both materials. Ru passivated TaN was found to have improved binding with Cu adatoms as compared to the bare TaN and Ru surfaces.</div><div>On the other hand, the energetic barrier for Cu diffusion at Ru passivated TaN surface was lower than at the bare TaN surface which can promote Cu agglomeration. For Ru-doped TaN however, a decrease in Cu binding energy was found in addition to favourable migration of the Cu adatoms toward the doped Ru atom and unfavourable migration away from it or into the bulk. This suggests that Ru doping sites in the TaN surface can act as nucleation points for Cu growth with high migration barrier preventing agglomeration and allow electroplating of Cu. Therefore Ru-doped TaN is proposed as a candidate for a combined barrier+liner material with reduced thickness.</div>

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Evaluasi Telemarketing Kartu Kredit Bank Menggunakan Algoritma Genetika untuk Seleksi Fitur dan Naive Bayes

Jurnal Aplikasi Pelayaran dan Kepelabuhanan ◽

10.30649/japk.v10i1.71 ◽

2020 ◽

Vol 10 (1) ◽

pp. 12

Author(s):

Ekka Pujo Ariesanto Akhmad

Keyword(s):

Data Mining ◽

Naive Bayes ◽

Naïve Bayes ◽

Standard Process ◽

Industry Standard

<strong> </strong>Bagian pemasaran bank sudah menampung data dari nasabah atau pelanggan bank dengan cara memasarkan atau mensosialisasikan kartu kredit lewat telepon (telemarketing). Evaluasi telemarketing kartu kredit yang sudah dilakukan bank masih kurang membawa hasil dan berdaya guna. Salah satu cara yang tepat untuk evaluasi laporan telemarketing kartu kredit bank adalah menggunakan teknik data mining. Tujuan penggunaan data mining untuk mengetahui kecenderungan dan pola nasabah yang berpeluang untuk berlangganan kartu kredit yang ditawarkan bank. Metode penelitian menggunakan Cross Industry Standard Process for Data Mining (CRISP-DM) dengan Algoritma Genetika untuk Seleksi Fitur (GAFS) dan Naive Bayes (NB). Hasil penelitian menunjukkan jumlah atribut pada dataset telemarketing kartu kredit bank sejumlah 15 atribut terdiri dari 14 atribut biasa dan 1 atribut spesial. Dataset telemarketing bank mengandung data berdimensi tinggi, sehingga diterapkan metode GAFS. Setelah menerapkan metode GAFS diperoleh 7 atribut optimal terdiri dari 6 atribut biasa dan 1 atribut spesial. Enam atribut biasa meliputi pekerjaan, balance, rumah, pinjaman, durasi, poutcome. Sedangkan atribut spesial adalah target. Hasil penelitian menunjukkan algoritma NB mempunyai nilai akurasi <em>86,71</em>%. Algoritma GAFS dan NB meningkatkan nilai akurasi menjadi <em>90,27</em>% untuk prediksi nasabah bank yang mengambil kartu kredit.

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3D Integrated Power—A Discrete Perspective

ISTFA 2015: Conference Proceedings from the 41st International Symposium for Testing and Failure Analysis ◽

10.31399/asm.cp.istfa2015p0141 ◽

2015 ◽

Author(s):

Ian Kearney ◽

Stephen Brink

Keyword(s):

Heat Dissipation ◽

Automatic Test Equipment ◽

Systematic Analysis ◽

Power Mosfet ◽

Root Cause ◽

Industry Standard ◽

Bona Fide ◽

Process Issue ◽

Board Level ◽

3D Package

Abstract The shift in power conversion and power management applications to thick copper clip technologies and thinner silicon dies enable high-current connections (overcoming limitations of common wire bond) and enhance the heat dissipation properties of System-in-Package solutions. Powerstage innovation integrates enhanced gate drivers with two MOSFETs combining vertical current flow with a lateral power MOSFET. It provides a low on-resistance and requires an extremely low gate charge with industry-standard package outlines - a combination not previously possible with existing silicon platforms. These advancements in both silicon and 3D Multi-Chip- Module packaging complexity present multifaceted challenges to the failure analyst. The various height levels and assembly interfaces can be difficult to deprocess while maintaining all the critical evidence. Further complicating failure isolation within the system is the integration of multiple chips, which can lead to false positives. Most importantly, the discrete MOSFET all too often gets overlooked as just a simple threeterminal device leading to incorrect deductions in determining true root cause. This paper presents the discrete power MOSFET perspective amidst the competing forces of the system-to-board-level failure analysis. It underlines the requirement for diligent analysis at every step and the importance as an analyst to contest the conflicting assumptions of challenging customers. Automatic Test Equipment (ATE) data-logs reported elevated power MOSFET leakage. Initial assumptions believed a MOSFET silicon process issue existed. Through methodical anamnesis and systematic analysis, the true failure was correctly isolated and the power MOSFET vindicated. The authors emphasize the importance of investigating all available evidence, from a macro to micro 3D package perspective, to achieve the bona fide path forward and true root cause.

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Machine Learning Based Predictive Action on Categorical Non-Sequential Data

Recent Advances in Computer Science and Communications ◽

10.2174/2213275912666190417150421 ◽

2020 ◽

Vol 13 (5) ◽

pp. 1020-1030

Author(s):

Pradeep S. ◽

Jagadish S. Kallimani

Keyword(s):

Machine Learning ◽

Data Analysis ◽

Categorical Data ◽

Numerical Data ◽

Processing Technique ◽

Machine Learning Algorithms ◽

Sequential Data ◽

Industry Standard ◽

Robust Model ◽

Future Work

Background: With the advent of data analysis and machine learning, there is a growing impetus of analyzing and generating models on historic data. The data comes in numerous forms and shapes with an abundance of challenges. The most sorted form of data for analysis is the numerical data. With the plethora of algorithms and tools it is quite manageable to deal with such data. Another form of data is of categorical nature, which is subdivided into, ordinal (order wise) and nominal (number wise). This data can be broadly classified as Sequential and Non-Sequential. Sequential data analysis is easier to preprocess using algorithms. Objective: The challenge of applying machine learning algorithms on categorical data of nonsequential nature is dealt in this paper. Methods: Upon implementing several data analysis algorithms on such data, we end up getting a biased result, which makes it impossible to generate a reliable predictive model. In this paper, we will address this problem by walking through a handful of techniques which during our research helped us in dealing with a large categorical data of non-sequential nature. In subsequent sections, we will discuss the possible implementable solutions and shortfalls of these techniques. Results: The methods are applied to sample datasets available in public domain and the results with respect to accuracy of classification are satisfactory. Conclusion: The best pre-processing technique we observed in our research is one hot encoding, which facilitates breaking down the categorical features into binary and feeding it into an Algorithm to predict the outcome. The example that we took is not abstract but it is a real – time production services dataset, which had many complex variations of categorical features. Our Future work includes creating a robust model on such data and deploying it into industry standard applications.

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Quality Control Methods for Advanced Metering Infrastructure Data

Smart Cities ◽

10.3390/smartcities4010012 ◽

2021 ◽

Vol 4 (1) ◽

pp. 195-203

Author(s):

Eric Garrison ◽

Joshua New

Keyword(s):

Quality Control ◽

Missing Values ◽

Electricity Consumption ◽

Empirical Validation ◽

Advanced Metering Infrastructure ◽

Building Energy Modeling ◽

Building Type ◽

Industry Standard ◽

Advanced Metering ◽

Electrical Consumption

While urban-scale building energy modeling is becoming increasingly common, it currently lacks standards, guidelines, or empirical validation against measured data. Empirical validation necessary to enable best practices is becoming increasingly tractable. The growing prevalence of advanced metering infrastructure has led to significant data regarding the energy consumption within individual buildings, but is something utilities and countries are still struggling to analyze and use wisely. In partnership with the Electric Power Board of Chattanooga, Tennessee, a crude OpenStudio/EnergyPlus model of over 178,000 buildings has been created and used to compare simulated energy against actual, 15-min, whole-building electrical consumption of each building. In this study, classifying building type is treated as a use case for quantifying performance associated with smart meter data. This article attempts to provide guidance for working with advanced metering infrastructure for buildings related to: quality control, pathological data classifications, statistical metrics on performance, a methodology for classifying building types, and assess accuracy. Advanced metering infrastructure was used to collect whole-building electricity consumption for 178,333 buildings, define equations for common data issues (missing values, zeros, and spiking), propose a new method for assigning building type, and empirically validate gaps between real buildings and existing prototypes using industry-standard accuracy metrics.

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A low-cost wireless endoscope camera: a preliminary report

African Journal of Urology ◽

10.1186/s12301-021-00127-z ◽

2021 ◽

Vol 27 (1) ◽

Author(s):

J. M. Lazarus ◽

M. Ncube

Keyword(s):

Minimally Invasive Surgery ◽

Minimally Invasive ◽

Video Transmission ◽

Low Cost ◽

Battery Life ◽

Resource Constrained ◽

High Definition ◽

Industry Standard ◽

Constrained Environments ◽

The Cost

Abstract Background Technology currently used for surgical endoscopy was developed and is manufactured in high-income economies. The cost of this equipment makes technology transfer to resource constrained environments difficult. We aimed to design an affordable wireless endoscope to aid visualisation during rigid endoscopy and minimally invasive surgery (MIS). The initial prototype aimed to replicate a 4-mm lens used in rigid cystoscopy. Methods Focus was placed on using open-source resources to develop the wireless endoscope to significantly lower the cost and make the device accessible for resource-constrained settings. An off the shelf miniature single-board computer module was used because of its low cost (US$10) and its ability to handle high-definition (720p) video. Open-source Linux software made monitor mode (“hotspot”) wireless video transmission possible. A 1280 × 720 pixel high-definition tube camera was used to generate the video signal. Video is transmitted to a standard laptop computer for display. Bench testing included latency of wireless digital video transmission. Comparison to industry standard wired cameras was made including weight and cost. The battery life was also assessed. Results In comparison with industry standard cystoscope lens, wired camera, video processing unit and light source, the prototype costs substantially less. (US$ 230 vs 28 000). The prototype is light weight (184 g), has no cables tethering and has acceptable battery life (of over 2 h, using a 1200 mAh battery). The camera transmits video wirelessly in near real time with only imperceptible latency of < 200 ms. Image quality is high definition at 30 frames per second. Colour rendering is good, and white balancing is possible. Limitations include the lack of a zoom. Conclusion The novel wireless endoscope camera described here offers equivalent high-definition video at a markedly reduced cost to contemporary industry wired units and could contribute to making minimally invasive surgery possible in resource-constrained environments.

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Quantifying the Effects of Vibration on Medicines in Transit Caused by Fixed-Wing and Multi-Copter Drones

Drones ◽

10.3390/drones5010022 ◽

2021 ◽

Vol 5 (1) ◽

pp. 22

Author(s):

Andrew Oakey ◽

Tim Waters ◽

Wanqing Zhu ◽

Paul G. Royall ◽

Tom Cherrett ◽

...

Keyword(s):

Road Transport ◽

Uv Spectra ◽

Frequency Spectra ◽

Vibration Measurements ◽

British Pharmacopoeia ◽

Medical Products ◽

Industry Standard ◽

The Stability ◽

In Transit

The concept of transporting medical products by drone is gaining a lot of interest amongst the medical and logistics communities. Such innovation has generated several questions, a key one being the potential effects of flight on the stability of medical products. The aims of this study were to quantify the vibration present within drone flight, study its effect on the quality of the medical insulin through live flight trials, and compare the effects of vibration from drone flight with traditional road transport. Three trials took place in which insulin ampoules and mock blood stocks were transported to site and flown using industry standard packaging by a fixed-wing or a multi-copter drone. Triaxial vibration measurements were acquired, both in-flight and during road transit, from which overall levels and frequency spectra were derived. British Pharmacopeia quality tests were undertaken in which the UV spectra of the flown insulin samples were compared to controls of known turbidity. In-flight vibration levels in both the drone types exceeded road induced levels by up to a factor of three, and predominant vibration occurred at significantly higher frequencies. Flown samples gave clear insulin solutions that met the British Pharmacopoeia specification, and no aggregation of insulin was detected.

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PHY, MAC, and RLC Layer Based Estimation of Optimal Cyclic Prefix Length

Sensors ◽

10.3390/s21144796 ◽

2021 ◽

Vol 21 (14) ◽

pp. 4796

Author(s):

Adriana Lipovac ◽

Vlatko Lipovac ◽

Borivoj Modlic

Keyword(s):

Error Recovery ◽

Cyclic Prefix ◽

Closed Form Expression ◽

Delay Spread ◽

Radio Link ◽

Medium Access ◽

Power Delay Profile ◽

Rms Delay Spread ◽

Industry Standard ◽

New Radio

This work is motivated by growing evidence that the standard Cyclic Prefix (CP) length, adopted in the Long Term Evolution (LTE) physical layer (PHY) specifications, is oversized in propagation environments ranging from indoor to typical urban. Although this ostensibly seems to be addressed by 5G New Radio (NR) numerology, its scalable CP length reduction is proportionally tracked by the OFDM symbol length, which preserves the relative CP overhead of LTE. Furthermore, some simple means to optimize fixed or introduce adaptive CP length arose from either simulations or models taking into account only the bit-oriented PHY transmission performance. On the contrary, in the novel crosslayer analytical model proposed here, the closed-form expression for the optimal CP length is derived such as to minimize the effective average codeblock length, by also considering the error recovery retransmissions through the layers above PHY—the Medium Access Control (MAC) and the Radio Link Control (RLC), in particular. It turns out that, for given protective coding, the optimal CP length is determined by the appropriate rms delay spread of the channel power delay profile part remaining outside the CP span. The optimal CP length values are found to be significantly lower than the corresponding industry-standard ones, which unveils the potential for improving the net throughput.

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Second-order discontinuous Galerkin flood model: Comparison with industry-standard finite volume models

Journal of Hydrology ◽

10.1016/j.jhydrol.2020.125924 ◽

2021 ◽

Vol 594 ◽

pp. 125924

Author(s):

Janice Lynn Ayog ◽

Georges Kesserwani ◽

James Shaw ◽

Mohammad Kazem Sharifian ◽

Domenico Bau

Keyword(s):

Discontinuous Galerkin ◽

Finite Volume ◽

Model Comparison ◽

Second Order ◽

Industry Standard ◽

Flood Model ◽

Volume Models

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Good practices for the translation, cultural adaptation, and linguistic validation of clinician-reported outcome, observer-reported outcome, and performance outcome measures

Journal of Patient-Reported Outcomes ◽

10.1186/s41687-020-00248-z ◽

2020 ◽

Vol 4 (1) ◽

Author(s):

Shawn McKown ◽

Catherine Acquadro ◽

Caroline Anfray ◽

Benjamin Arnold ◽

Sonya Eremenco ◽

...

Keyword(s):

Cultural Adaptation ◽

Patient Reported Outcome ◽

Validation Process ◽

Linguistic Validation ◽

Performance Outcome ◽

Industry Standard ◽

Patient Reported ◽

And Performance ◽

Clinical Outcome Assessments ◽

Translation And Cultural Adaptation

Abstract Within current literature and practice, the category of patient-reported outcome (PRO) measures has been expanded into the broader category of clinical outcome assessments (COAs), which includes the subcategory of PRO, as well as clinician-reported outcome (ClinRO), observer-reported outcome (ObsRO), and performance outcome (PerfO) measure subcategories. However, despite this conceptual expansion, recommendations associated with translation, cultural adaptation, and linguistic validation of COAs remain focused on PRO measures, which has created a gap in specific process recommendations for the remaining types. This lack of recommendations has led to inconsistent approaches being implemented, leading to uncertainty in the scientific community regarding suitable methods. To address this gap, the ISOQOL Translation and Cultural Adaptation Special Interest Group (TCA-SIG) has developed recommendations specific to each of the three COA types currently lacking such documentation to support a standardized approach to their translation, cultural adaptation, and linguistic validation. The recommended process utilized to translate ObsRO, ClinRO and PerfO measures from one language to another aligns closely with the industry standard process for PRO measures. The substantial differences between respondent categories across COA types require targeted approaches to the cognitive interviewing procedures utilized within the linguistic validation process, including the use of patients for patient-facing text in ClinRO measures, and the need to interview the targeted observers for ObsROs measures.

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